The Role of AI in Transforming Metadata Management: Insights on Challenges, Opportunities, and Emerging Trends

Authors

  • Diseiye Oyighan Delta School of Marine Technology, Burutu, Delta State, Nigeria
  • Ejiro Sandra Ukubeyinje College of Education, Warri, Delta State, Nigeria
  • Boma T. David -West Department of Library and Information Science, University of Port Harcourt, Rivers State, Nigeria
  • Bolaji David Oladokun Federal University of Technology, Ikot Abasi, Nigeria

DOI:

https://doi.org/10.70112/ajist-2024.14.2.4277

Keywords:

Artificial Intelligence (AI), Metadata Management, Libraries, Challenges, Opportunities

Abstract

This study examines the integration of artificial intelligence (AI) into metadata management in libraries, focusing on its challenges, opportunities, and future trends. Metadata plays a critical role in organizing and retrieving library resources, and AI offers the potential to automate these processes. The objectives of this study are to explore the challenges libraries face with AI-driven metadata, identify opportunities for improvement, and analyze emerging trends. Using a systematic literature review, relevant articles were analyzed to draw insights. Key findings reveal that data quality, ethical concerns, and technical limitations are major challenges. However, AI presents opportunities such as automating metadata creation, improving resource discoverability, and efficiently managing large digital collections. Future trends include the increased use of linked data and predictive analytics, which will shape how metadata is managed. The study concludes that while AI brings significant benefits, human oversight is essential, and libraries need to focus on training staff and updating policies for effective AI integration.

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Published

26-09-2024

How to Cite

Oyighan, D., Ukubeyinje, E. S., David -West, B. T., & Oladokun, B. D. (2024). The Role of AI in Transforming Metadata Management: Insights on Challenges, Opportunities, and Emerging Trends. Asian Journal of Information Science and Technology, 14(2), 20–26. https://doi.org/10.70112/ajist-2024.14.2.4277